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Education and Training: Regression Models

Time and Location Regression Models
Will Guthrie
Statistical Engineering Division, NIST
Course not currently scheduled
Abstract Provides an introduction to the construction and validation of regression models from a practical point of view. Scientific and engineering examples are used to show the steps in the model-building process and to give an intuitive understanding of regression algorithms and the associated hypothesis tests and statistical intervals. Both linear and nonlinear regression are covered, with special attention to calibration and outlier resistant regression. A computer-based approach is used for calculations to minimize the number of equations and formulas used. Matrix algebra is not emphasized in this course.
Comments on Course REGISTRATION FEE IS $120.

A set of notes will be provided for the class, and a textbook (Graybill and Iyer, Regression Analysis: Concepts and Applications, Duxbury Press) will be utilized.

Further Information For further information, contact or register online (once the course is scheduled) at

Date created: 2/1/2002
Last updated: 2/1/2002
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